Leopoldo Melo Junior

According to our database, Leopoldo Melo Junior authored at least 8 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

RMkNN and KNORA-IU: Combining Imbalanced Dynamic Selection Techniques for Credit Scoring.

Leopoldo Melo Junior, José Antônio Fernandes de Macêdo, Franco Maria Nardini, Chiara Renso

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Using Deep Learning for Trajectory Classification.

Nicksson C. A. Freitas, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Leopoldo Melo Junior, Matheus G. Cordeiro

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Using deep learning for trajectory classification in imbalanced dataset.

Nicksson Ckayo Arrais de Freitas, Ticiana L. Coelho da Silva, José Antônio Fernandes de Macêdo, Leopoldo Melo Junior

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020

A novel approach to define the local region of dynamic selection techniques in imbalanced credit scoring problems.

Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, Roberto Trani, José Antônio Fernandes de Macêdo

Expert Syst. Appl., 2020

Model-centered Ensemble for Anomaly Detection in Time Series.

Erick L. Trentini, Ticiana L. Coelho da Silva, Leopoldo Melo Junior, José A. F. de Macêdo

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

2019

On combining dynamic selection, sampling, and pool generators for credit scoring.

Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, José Antônio Fernandes de Macêdo

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

KNORA-IU: Improving the Dynamic Selection Prediction in Imbalanced Credit Scoring Problems.

Leopoldo Melo Junior, Franco Maria Nardini, Chiara Renso, José A. F. de Macêdo

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

An Empirical Comparison of Classification Algorithms for Imbalanced Credit Scoring Datasets.

Leopoldo Soares de Melo Junior, Franco Maria Nardini, Chiara Renso, José Antônio Fernandes de Macêdo

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019